def houghtlines(image):
block_size = 0
timage=image.mean(axis=2).astype(numpy.uint8)
storage = zopencv.cvCreateMemStorage ( block_size )
pt1=zopencv.CvPoint()
pt2=zopencv.CvPoint()
lines = zopencv.cvHoughLines2(timage, storage.get_pointer(), zopencv.CV_HOUGH_STANDARD, 1, zopencv.CV_PI/180, 100, 0, 0 )
#cvFlip(image)
BIG=image.shape[0]+image.shape[1]
resimage=image.copy('C')
for i in range(min(lines.total,100)):
line = zopencv.zopencv_pclasses.PointerOnCvPoint2D32f(zopencv.cvGetSeqElem(lines,i));
rho = line.x;
theta = line.y;
a = math.cos(theta)
b = math.sin(theta)
x0 = a*rho
y0 = b*rho
pt1.x = zopencv.cvRound(x0 + BIG*(-b))
pt1.y = zopencv.cvRound(y0 + BIG*(a))
pt2.x = zopencv.cvRound(x0 - BIG*(-b))
pt2.y = zopencv.cvRound(y0 - BIG*(a))
color=zopencv.cvScalar(255,0,0,0)
zopencv.cvLine(resimage, pt1, pt2, color, 1, 1,0 )#zopencv.CV_RGB(255,0,0
zopencv.cvReleaseMemStorage(storage.get_pointer_on_pointer())
return resimage
def canny(image,threshold1=1, threshold2=1,apertureSize=3,L2gradient=0):
import zopencv
edges=image.copy('C')
print zopencv.cvCanny.__doc__
zopencv.cvCanny( image,edges, threshold1, threshold2,apertureSize)#, L2gradient)
return edges
